Golestani, A. M., & Gee, J. M. (2025). A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom. Journal of Applied Clinical Medical Physics, 26(7), 1-9. https://doi.org/10.1002/acm2.70173
ISO-690 (author-date, English)GOLESTANI, Ali M. und GEE, Julia M., 2025. A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom. Journal of Applied Clinical Medical Physics. 1 Juli 2025. Vol. 26, no. 7, p. 1-9. DOI 10.1002/acm2.70173.
Modern Language Association 9th editionGolestani, A. M., und J. M. Gee. „A Statistical Approach to Automated Analysis of the low‐contrast Object Detectability Test for the Large ACR MRI Phantom.“. Journal of Applied Clinical Medical Physics, Bd. 26, Nr. 7, Juli 2025, S. 1-9, https://doi.org/10.1002/acm2.70173.
Mohr Siebeck - Recht (Deutsch - Österreich)Golestani, Ali M./Gee, Julia M.: A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom., Journal of Applied Clinical Medical Physics 2025, 1-9.
Emerald - HarvardGolestani, A.M. und Gee, J.M. (2025), „A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.“, Journal of Applied Clinical Medical Physics, Vol. 26 No. 7, S. 1-9.